Knowledge graph construction method integrating teaching feedback and learned understanding

Abstract

The invention discloses a knowledge graph construction method integrating teaching feedback and learned understanding. The method comprises the following steps: 1) data acquisition: converting behaviors of students in a classroom into a text for describing the understanding degree of the students on current knowledge; 2) named entity recognition and relation extraction: performing entity recognition and relation extraction on classroom text data at the same time to obtain a related entity triple; 3) embedding the entity and the relation, generating information of neighbor nodes by a weighted graph convolutional network, learning richer semantic expressions of the entity and the relation to form a final entity embedding expression; 4) scoring alternative tail entities in the knowledge graph triple through a multi-scale convolutional neural network, selecting the tail entity with the highest score as a reasoning result, further reasoning implicit knowledge, and updating the knowledge graph; wherein the alternative tail entities are all entities updated in the step 3). According to the invention, a specific knowledge graph of each student can be constructed, and learning and teaching evaluation feedback can be carried out.

Description

technical field [0001] The invention relates to artificial intelligence education technology, in particular to a method for constructing a knowledge map that incorporates teaching feedback and acquired understanding. Background technique [0002] Offline classrooms are the main way for students to learn knowledge, but in the learning process, students can only supplement their own learning based on their own shortcomings, and cannot find the root of the problem in time, and then supplement basic knowledge step by step. Teachers can only judge students' mastery of knowledge through examinations and homework completion. [0003] With the rapid development of educational information technology, teaching methods and means have also undergone great changes. In order to improve the learning efficiency of offline classrooms, personalized learning behavior is a way to be paid attention to, and this requires the relationship between learners' behavior data and subject knowledge poin...

AI Technical Summary

Problems solved by technology

[0002] Offline classroom is the main way for students to learn knowledge, but in the learning process, students can only supplement their own learning according to their own shortcomings, and cannot find the root of the problem in a timely manner, and then supplement basic knowledge step by step

Teachers can only judge students' mastery of knowledge through examination and homework completion.

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